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At Home Data Scientist Risk Jobs in Arizona (NOW HIRING)

The Data Scientist III drives internal data analytics projects. Projects will vary from short ... Furthermore, they do not establish a contract for employment and are subject to change at the ...

The Data Scientist III drives internal data analytics projects. Projects will vary from short ... Furthermore, they do not establish a contract for employment and are subject to change at the ...

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... Proficiency in SQL and at least one analytical programming language such as Python or R.

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... Proficiency in SQL and at least one analytical programming language such as Python or R.

The People Data Scientist applies advanced statistical, analytical, and data science methodologies ... Proficiency in SQL and at least one analytical programming language such as Python or R.

It is at the core of how we operate and the reason for our success. Come join a #1 team and do some ... Responsibilities State Farm is seeking Data Scientists with experience in deep learning with ...

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At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are the most commonly searched types of Data Scientist Risk jobs in Arizona? The most popular types of Data Scientist Risk jobs in Arizona are:
What are popular job titles related to At Home Data Scientist Risk jobs in Arizona? For At Home Data Scientist Risk jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching At Home Data Scientist Risk jobs in Arizona look for? The top searched job categories for At Home Data Scientist Risk jobs in Arizona are:
What cities in Arizona are hiring for At Home Data Scientist Risk jobs? Cities in Arizona with the most At Home Data Scientist Risk job openings:
Data Scientist, Data & Science Solutions

Data Scientist, Data & Science Solutions

Caris Life Sciences

Tempe, AZ • On-site

Full-time

Re-posted 28 days ago


Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.
We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if this patient were my mom?" That question drives everything we do.
But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.
Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.
Position Summary
Caris Life Sciences is seeking a data scientist to expand, test, and validate a suite of molecular biomarkers aimed to improve the standard of care for patients undergoing treatment for cancer. This is a research role within the Caris signature development program and responsibilities will center on statistical or machine-learning derived predictions of phenotypic treatment response built from the genotypic data types available on Caris molecular sequencing platforms. A successful candidate will have the analytical, code-oriented mindset to create reproducible data science pipelines, and the communication skills to discuss the implications of the scientific results with our medical professionals.
Job Responsibilities
  • Contribute to analytics and research that support internal stakeholders and external partners.
  • Assist in the development and evaluation of molecular signatures and analytical approaches that leverage Caris' data to support partner research and drug discovery strategies.
  • Support preparation of analytical results and figures for internal reviews and client-facing discussions.
  • Develop and maintain tools, workflows, and automated solutions to scale data analytics and data science operations.
  • Support the Biopharma Solutions team with feasibility assessments and tooling to optimize workflows.
  • Write well-structured, well-documented, and reproducible code, including efficient queries and organized codebases.

Required Qualifications
  • PhD in Computational Biology, Bioinformatics, Mathematics, Data Science, Engineering, or related scientific field.
  • Strong programming skills in Python or R, with experience developing reproducible analysis workflows.
  • Experience with Linux ecosystem, Git, and queries from SQL or related database families.
  • Experience with molecular genetics data and/or multimodal real-world data (RWD).
  • Ability to translate biological and scientific questions into analytical or statistical approaches and deliver data-driven insights.
  • Strong verbal and written communication skills, with the ability to explain complex technical concepts in clear language.

Preferred Qualifications
  • Experience with interpretation of clinical health records including Electronic Health Records, insurance claims data, or patient histories.
  • Experience collaborating directly with external partners or clients, particularly in biopharma or healthcare.
  • Good code documentation practices and experience with workflow management packages.
  • Experience working in cloud or HPC clusters.

Physical Demands
  • Will work at a computer most of the time, with some time spent collaborating with subject matter experts and business group leaders either in person or through remote conferencing.
  • Visual acuity and analytical skill to distinguish fine detail.
  • Must possess ability to sit and/or stand for long periods of time.

Training
  • All job specific, safety, and compliance training are assigned based on the job functions associated with this employee.

Other
  • This position may require periodic travel and some evenings, weekends, and/or holidays.

Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.
This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.